John Jaso

PosC

B/TL/R

Born1983-09-19

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2015	31	MLBTB	216	.286/.383/.459	5	1	137	1.1
2016	32	MLBPIT	432	.268/.353/.413	8	0	119	0.5
2017	33	MLBPIT	302	.211/.329/.402	10	1	108	0.1
2018	34	No MLB games played
2019	35	No MLB games played
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR 1.7

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

xwOBA83

Barrel%40

Speed30

Avg EV24

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2005	21	A	Southwest Michigan Devil Rays	—	386	332	102	25	1	14	42	53	4	3	1	307	392	515	907	208	322	14	11	392	101	—	—	—	—	—	—
2006	22	A+	Visalia Oaks	—	406	366	113	22	0	10	31	48	3	1	2	309	367	451	818	142	328	12	8	360	93	—	—	—	—	—	—
2007	23	AA	Montgomery Biscuits	—	450	380	120	24	2	12	59	49	4	2	2	316	413	484	897	168	333	11	13	394	116	—	—	—	—	—	—
2008	24	AAA	Durham Bulls	—	118	108	30	7	0	5	10	14	0	1	1	278	339	481	820	204	281	12	8	362	101	—	—	—	—	—	—
2008	24	AA	Montgomery Biscuits	—	356	284	77	13	2	7	62	33	6	1	0	271	412	405	817	134	283	9	17	371	99	—	—	—	—	—	—
2009	25	AAA	Durham Bulls	—	388	331	88	14	2	5	46	49	6	1	0	266	365	366	730	100	295	13	12	332	82	—	—	—	—	—	—
2010	26	MLB	Tampa Bay Rays	—	404	339	89	18	3	5	59	39	2	4	0	263	375	378	753	115	282	10	15	342	115	+7	+1	-9	+7	+9	1.5
2011	27	MLB	Tampa Bay Rays	—	273	246	55	15	1	5	25	36	1	1	2	224	298	354	651	130	244	13	9	294	85	-5	-1	-11	+5	+6	-0.5
2011	27	AAA	Durham Bulls	—	22	20	6	2	0	0	2	3	0	0	0	300	364	400	764	100	353	14	9	345	85	—	—	—	—	—	—
2012	28	MLB	Seattle Mariners	—	361	294	81	19	2	10	56	51	5	5	0	276	400	456	856	180	298	14	16	378	143	+18	+1	-3	+6	+8	3.1
2013	29	MLB	Oakland Athletics	—	249	207	56	12	0	3	38	45	2	2	1	271	389	372	761	101	331	18	15	348	123	+7	+0	-7	+4	+5	1.0
2014	30	MLB	Oakland Athletics	—	344	307	81	18	3	9	28	60	7	2	0	264	339	430	769	166	300	17	8	342	119	+8	+0	-11	+6	+7	1.1
2015	31	MLB	Tampa Bay Rays	—	216	185	53	17	0	5	28	39	1	1	2	286	383	459	843	173	336	18	13	373	137	+10	-1	+0	-3	+5	1.1
2015	31	A+	Charlotte Stone Crabs	—	23	21	6	2	0	0	2	4	0	0	0	286	348	381	729	95	353	17	9	330	63	—	—	—	—	—	—
2016	32	MLB	Pittsburgh Pirates	—	432	380	102	25	3	8	45	74	5	0	4	268	353	413	767	145	314	17	10	344	119	+10	-2	-5	-8	+9	0.5
2017	33	MLB	Pittsburgh Pirates	—	302	256	54	19	0	10	40	66	5	1	1	211	329	402	731	191	243	22	13	329	108	+3	-0	-5	-3	+7	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2581	2214	571	143	12	55	319	410	28	16	10	258	358	408	766	150	293	16	12	344	119	+58	-1	-51	+16	+56	8.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	A MLE	Southwest Michigan Devil Rays	—	386	346	87	20	1	11	28	72	4	3	1	251	315	410	725	159	273	19	7	317	101	—	—	—	—	—	—
2006	22	A+ MLE	Visalia Oaks	—	406	376	101	18	0	9	21	64	3	1	2	269	312	388	701	120	291	16	5	306	93	—	—	—	—	—	—
2007	23	AA MLE	Montgomery Biscuits	—	450	399	114	23	2	10	40	60	4	2	2	286	357	429	785	143	302	13	9	339	116	—	—	—	—	—	—
2008	24	AAA MLE	Durham Bulls	—	118	111	28	6	0	4	7	17	0	1	1	252	297	414	711	162	273	14	6	317	101	—	—	—	—	—	—
2008	24	AA MLE	Montgomery Biscuits	—	356	305	75	13	2	6	41	40	6	1	0	246	347	361	707	115	259	11	12	315	99	—	—	—	—	—	—
2009	25	AAA MLE	Durham Bulls	—	388	346	83	12	2	4	32	59	6	1	0	240	315	321	636	81	274	15	8	290	82	—	—	—	—	—	—
2010	26	MLB MLE	Tampa Bay Rays	—	404	340	88	18	3	5	58	39	2	4	0	259	370	374	744	115	282	10	14	339	115	+7	+1	-9	+7	+9	1.5
2011	27	MLB MLE	Tampa Bay Rays	—	273	246	54	15	1	5	25	36	1	1	2	220	294	350	644	130	244	13	9	294	85	-5	-1	-11	+5	+6	-0.5
2011	27	AAA MLE	Durham Bulls	—	22	21	6	2	0	0	1	3	0	0	0	286	318	381	699	95	321	14	5	294	85	—	—	—	—	—	—
2012	28	MLB MLE	Seattle Mariners	—	361	295	81	19	2	10	55	51	5	5	0	275	397	454	851	180	298	14	15	379	143	+18	+1	-3	+6	+8	3.1
2013	29	MLB MLE	Oakland Athletics	—	249	207	56	12	0	3	38	45	2	2	1	271	389	372	761	101	331	18	15	350	123	+7	+0	-7	+4	+5	1.0
2014	30	MLB MLE	Oakland Athletics	—	344	308	81	17	3	10	27	60	7	2	0	263	336	435	771	172	300	17	8	344	119	+8	+0	-11	+6	+7	1.1
2015	31	MLB MLE	Tampa Bay Rays	—	216	186	52	17	0	5	27	39	1	1	2	280	374	452	825	172	336	18	12	371	137	+10	-1	+0	-3	+5	1.1
2015	31	A+ MLE	Charlotte Stone Crabs	—	23	22	5	2	0	0	1	6	0	0	0	227	261	318	579	91	317	26	4	261	63	—	—	—	—	—	—
2016	32	MLB MLE	Pittsburgh Pirates	—	432	380	102	24	3	9	45	74	5	0	4	268	353	418	772	150	314	17	10	344	119	+10	-2	-5	-8	+9	0.5
2017	33	MLB MLE	Pittsburgh Pirates	—	302	258	54	18	0	11	38	66	5	1	1	209	322	407	729	198	243	22	13	327	108	+3	-0	-5	-3	+7	0.1
2005	21	A MLE	Southwest Michigan Devil Rays	—	386	346	87	20	1	11	28	72	4	3	1	251	315	410	725	159	280	19	7	317	101	—	—	—	—	—	—
2005	21	A RAW	Southwest Michigan Devil Rays	—	386	332	102	25	1	14	42	53	4	3	1	307	392	515	907	208	322	14	11	392	101	—	—	—	—	—	—
2006	22	A+ MLE	Visalia Oaks	—	406	376	101	18	0	9	21	64	3	1	2	269	312	388	701	120	298	16	5	306	93	—	—	—	—	—	—
2006	22	A+ RAW	Visalia Oaks	—	406	366	113	22	0	10	31	48	3	1	2	309	367	451	818	142	328	12	8	360	93	—	—	—	—	—	—
2007	23	AA MLE	Montgomery Biscuits	—	450	399	114	23	2	10	40	60	4	2	2	286	357	429	785	143	311	13	9	339	116	—	—	—	—	—	—
2007	23	AA RAW	Montgomery Biscuits	—	450	380	120	24	2	12	59	49	4	2	2	316	413	484	897	168	333	11	13	394	116	—	—	—	—	—	—
2008	24	AA MLE	2 teams	—	474	416	103	19	2	10	48	57	6	2	1	248	334	375	709	127	264	12	10	315	100	—	—	—	—	—	—
2008	24	AA RAW	2 teams	—	474	392	107	20	2	12	72	47	6	2	1	273	394	426	820	153	283	10	15	368	100	—	—	—	—	—	—
2009	25	AAA MLE	Durham Bulls	—	388	346	83	12	2	4	32	59	6	1	0	240	315	321	636	81	275	15	8	290	82	—	—	—	—	—	—
2009	25	AAA RAW	Durham Bulls	—	388	331	88	14	2	5	46	49	6	1	0	266	365	366	730	100	295	13	12	332	82	—	—	—	—	—	—
2010	26	MLB MLE	Tampa Bay Rays	—	404	340	88	18	3	5	58	39	2	4	0	259	370	374	744	115	278	10	14	339	115	+7	+1	-9	+7	+9	1.5
2010	26	MLB RAW	Tampa Bay Rays	—	404	339	89	18	3	5	59	39	2	4	0	263	375	378	753	115	282	10	15	342	115	+7	+1	-9	+7	+9	1.5
2011	27	MLB MLE	2 teams	—	295	267	60	17	1	5	26	39	1	1	2	225	296	352	648	127	247	13	9	294	85	-5	-1	-11	+5	+6	-0.5
2011	27	MLB RAW	2 teams	—	295	266	61	17	1	5	27	39	1	1	2	229	303	357	660	128	252	13	9	298	85	-5	-1	-11	+5	+6	-0.5
2012	28	MLB MLE	Seattle Mariners	—	361	295	81	19	2	10	55	51	5	5	0	275	397	454	851	180	297	14	15	379	143	+18	+1	-3	+6	+8	3.1
2012	28	MLB RAW	Seattle Mariners	—	361	294	81	19	2	10	56	51	5	5	0	276	400	456	856	180	298	14	16	378	143	+18	+1	-3	+6	+8	3.1
2013	29	MLB MLE	Oakland Athletics	—	249	207	56	12	0	3	38	45	2	2	1	271	389	372	761	101	331	18	15	350	123	+7	+0	-7	+4	+5	1.0
2013	29	MLB RAW	Oakland Athletics	—	249	207	56	12	0	3	38	45	2	2	1	271	389	372	761	101	331	18	15	348	123	+7	+0	-7	+4	+5	1.0
2014	30	MLB MLE	Oakland Athletics	—	344	308	81	17	3	10	27	60	7	2	0	263	336	435	771	172	296	17	8	344	119	+8	+0	-11	+6	+7	1.1
2014	30	MLB RAW	Oakland Athletics	—	344	307	81	18	3	9	28	60	7	2	0	264	339	430	769	166	300	17	8	342	119	+8	+0	-11	+6	+7	1.1
2015	31	MLB MLE	2 teams	—	239	208	58	19	0	5	28	45	1	1	2	279	367	442	809	163	331	19	12	360	130	+9	-1	+0	-3	+5	1.1
2015	31	MLB RAW	2 teams	—	239	206	59	19	0	5	30	43	1	1	2	286	380	451	831	165	338	18	13	369	130	+9	-1	+0	-3	+5	1.1
2016	32	MLB MLE	Pittsburgh Pirates	—	432	380	102	24	3	9	45	74	5	0	4	268	353	418	772	150	312	17	10	344	119	+10	-2	-5	-8	+9	0.5
2016	32	MLB RAW	Pittsburgh Pirates	—	432	380	102	25	3	8	45	74	5	0	4	268	353	413	767	145	314	17	10	344	119	+10	-2	-5	-8	+9	0.5
2017	33	MLB MLE	Pittsburgh Pirates	—	302	258	54	18	0	11	38	66	5	1	1	209	322	407	729	198	236	22	13	327	108	+3	-0	-5	-3	+7	0.1
2017	33	MLB RAW	Pittsburgh Pirates	—	302	256	54	19	0	10	40	66	5	1	1	211	329	402	731	191	243	22	13	329	108	+3	-0	-5	-3	+7	0.1
2005	21	A MLE	Southwest Michigan Devil Rays	—	386	351	87	20	1	11	28	72	4	3	1	248	315	405	719	157	273	19	7	317	101	—	—	—	—	—	—
2006	22	A+ MLE	Visalia Oaks	—	406	379	101	18	0	9	21	64	3	1	2	266	312	385	698	119	291	16	5	306	93	—	—	—	—	—	—
2007	23	AA MLE	Montgomery Biscuits	—	450	403	114	23	2	10	40	60	4	2	2	283	357	424	781	141	302	13	9	339	116	—	—	—	—	—	—
2008	24	AA MLE	2 teams	—	474	417	103	19	2	10	48	57	6	2	1	247	334	374	708	127	262	12	10	315	100	—	—	—	—	—	—
2009	25	AAA MLE	Durham Bulls	—	388	347	83	12	2	4	32	59	6	1	0	239	315	320	635	81	274	15	8	290	82	—	—	—	—	—	—
2010	26	MLB MLE	Tampa Bay Rays	—	404	341	88	18	3	5	58	39	2	4	0	258	370	372	742	114	282	10	14	339	115	—	—	—	—	—	—
2011	27	MLB MLE	2 teams	—	295	266	60	17	1	5	26	39	1	1	2	226	296	353	649	128	250	13	9	294	85	—	—	—	—	—	—
2012	28	MLB MLE	Seattle Mariners	—	361	298	81	19	2	10	55	51	5	5	0	272	397	450	847	178	298	14	15	379	143	—	—	—	—	—	—
2013	29	MLB MLE	Oakland Athletics	—	249	207	56	12	0	3	38	45	2	2	1	271	389	372	761	101	331	18	15	350	123	—	—	—	—	—	—
2014	30	MLB MLE	Oakland Athletics	—	344	307	81	17	3	10	27	60	7	2	0	264	336	436	773	173	300	17	8	344	119	—	—	—	—	—	—
2015	31	MLB MLE	2 teams	—	239	208	58	19	0	5	28	45	1	1	2	279	367	442	809	163	334	19	12	360	130	—	—	—	—	—	—
2016	32	MLB MLE	Pittsburgh Pirates	—	432	379	102	24	3	9	45	74	5	0	4	269	353	420	773	150	314	17	10	344	119	—	—	—	—	—	—
2017	33	MLB MLE	Pittsburgh Pirates	—	302	256	54	18	0	11	38	66	5	1	1	211	322	410	732	199	243	22	13	327	108	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2581	2214	571	143	12	55	319	410	28	16	10	258	358	408	766	150	293	16	12	344	109	+58	-1	-51	+16	+56	8.0
/ 162G	—	A+C		—	650	558	144	36	3	14	80	103	7	4	3	258	358	409	767	151	292	16	12	344	109	+15	-0	-13	+4	+14	2.0
Career	—	MLE		—	4730	4146	1068	236	19	102	484	731	51	25	16	258	342	397	740	140	288	15	10	330	109	+58	-1	-51	+16	+56	8.0
/ 162G	—	MLE		—	650	570	147	32	3	14	67	100	7	3	2	258	344	398	742	140	288	15	10	330	109	+15	-0	-13	+4	+14	2.0

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2015 A+Charlotte Stone Crabs · 23 PAwOBA .321 → .261 (−60)K% 17.4% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.39%	÷0.979	×1.420	—	—	25.23%
BB% (unintentional) /PA	8.70%	÷0.994	×0.750	—	×0.940	6.16%
HBP% /PA	0.00%	—	×0.930	—	×0.940	0.00%
Singles /BIP	23.53%	÷0.976	×0.920	—	×0.940	20.86%
Doubles /BIP	11.76%	÷0.978	×0.960	—	×0.940	10.86%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.822	×0.880	—	×0.940	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 64, 1B 95, 2B 96, 3B 130, K 96, BB 99 — applied at half strength. Age: age 32 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (9.2 yr older than average).

Result: wOBA .321 → .261; ISO .095 → .082; BABIP .353 → .317. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2011 AAADurham Bulls · 22 PAwOBA .336 → .294 (−42)K% 13.6% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.64%	÷1.051	×1.200	—	—	15.56%
BB% (unintentional) /PA	9.09%	÷0.938	×0.690	—	×0.992	6.63%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	23.53%	÷0.969	×0.930	—	×0.992	22.40%
Doubles /BIP	11.76%	÷0.994	×0.830	—	×0.992	9.75%
Triples /BIP	0.00%	÷1.017	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷0.960	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 94, 2B 99, 3B 103, K 110, BB 88 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average).

Result: wOBA .336 → .294; ISO .100 → .083; BABIP .353 → .321. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2009 AAADurham Bulls · 388 PAwOBA .327 → .290 (−37)K% 12.6% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.63%	÷1.000	×1.200	—	—	15.15%
BB% (unintentional) /PA	11.86%	÷1.000	×0.690	—	×1.018	8.33%
HBP% /PA	1.55%	—	×0.940	—	×1.018	1.48%
Singles /BIP	23.76%	÷1.000	×0.930	×0.999	×1.018	22.47%
Doubles /BIP	4.96%	÷1.000	×0.830	×0.999	×1.018	4.19%
Triples /BIP	0.71%	÷1.000	×0.970	×0.999	×1.018	0.70%
Home runs /BIP	1.77%	÷1.000	×0.840	—	×1.018	1.52%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .327 → .290; ISO .100 → .089; BABIP .295 → .274. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2008 AAMontgomery Biscuits · 356 PAwOBA .364 → .315 (−50)K% 9.3% → 11.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.27%	÷1.000	×1.220	—	—	11.31%
BB% (unintentional) /PA	17.13%	÷1.000	×0.680	—	×0.998	11.63%
HBP% /PA	1.69%	—	×0.840	—	×0.998	1.41%
Singles /BIP	21.91%	÷1.000	×0.920	×1.002	×0.998	20.15%
Doubles /BIP	5.18%	÷1.000	×0.910	×1.002	×0.998	4.71%
Triples /BIP	0.80%	÷1.000	×0.880	×1.002	×0.998	0.70%
Home runs /BIP	2.79%	÷1.000	×0.800	—	×0.998	2.23%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .364 → .315; ISO .134 → .121; BABIP .283 → .259. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2008 AAADurham Bulls · 118 PAwOBA .351 → .317 (−34)K% 11.9% → 14.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.86%	÷1.000	×1.200	—	—	14.24%
BB% (unintentional) /PA	8.47%	÷1.000	×0.690	—	×1.033	6.04%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	19.15%	÷1.000	×0.930	×1.050	×1.033	19.32%
Doubles /BIP	7.45%	÷1.000	×0.830	×1.050	×1.033	6.70%
Triples /BIP	0.00%	÷1.000	×0.970	×1.050	×1.033	0.00%
Home runs /BIP	5.32%	÷1.000	×0.840	—	×1.033	4.62%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .351 → .317; ISO .204 → .179; BABIP .281 → .273. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2007 AAMontgomery Biscuits · 450 PAwOBA .388 → .339 (−48)K% 10.9% → 13.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.89%	÷1.000	×1.220	—	—	13.28%
BB% (unintentional) /PA	12.89%	÷1.000	×0.680	—	×1.012	8.87%
HBP% /PA	0.89%	—	×0.840	—	×1.012	0.76%
Singles /BIP	24.77%	÷1.000	×0.920	×0.982	×1.012	22.64%
Doubles /BIP	7.25%	÷1.000	×0.910	×0.982	×1.012	6.55%
Triples /BIP	0.60%	÷1.000	×0.880	×0.982	×1.012	0.53%
Home runs /BIP	3.63%	÷1.000	×0.800	—	×1.012	2.94%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .388 → .339; ISO .168 → .150; BABIP .333 → .302. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2006 A+Visalia Oaks · 406 PAwOBA .355 → .306 (−49)K% 11.8% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.82%	÷1.000	×1.340	—	—	15.84%
BB% (unintentional) /PA	7.39%	÷1.000	×0.710	—	×0.998	5.24%
HBP% /PA	0.74%	—	×0.790	—	×0.998	0.58%
Singles /BIP	25.47%	÷1.000	×0.910	×1.002	×0.998	23.17%
Doubles /BIP	6.92%	÷1.000	×0.820	×1.002	×0.998	5.67%
Triples /BIP	0.00%	÷1.000	×0.760	×1.002	×0.998	0.00%
Home runs /BIP	3.14%	÷1.000	×0.920	—	×0.998	2.89%

Factors used: league row CAL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .355 → .306; ISO .142 → .125; BABIP .328 → .291. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2005 ASouthwest Michigan Devil Rays · 386 PAwOBA .388 → .317 (−71)K% 13.7% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.73%	÷1.000	×1.360	—	—	18.67%
BB% (unintentional) /PA	10.36%	÷1.000	×0.690	—	—	7.15%
HBP% /PA	1.04%	—	×0.780	—	—	0.81%
Singles /BIP	22.22%	÷1.000	×0.920	×0.956	—	19.54%
Doubles /BIP	8.96%	÷1.000	×0.830	×0.956	—	7.11%
Triples /BIP	0.36%	÷1.000	×0.910	×0.956	—	0.31%
Home runs /BIP	5.02%	÷1.000	×0.800	—	—	4.01%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.956.

Result: wOBA .388 → .317; ISO .208 → .169; BABIP .322 → .273. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).